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GLOSSARY

Simulation

Simulation

A highly developed and interactive computer program that enables users to take on different roles in a virtual setting Users can be trained using simulations in a risk-free setting.

Q: What is a simulation?
A: A simulation is a technique that uses computer software or physical models to construct a model of a real-life scenario or system in order to duplicate the system’s behaviour and responses.

Q: What is the purpose of a simulation?
A: simulation’s objective is to test and explore many possibilities and consequences of a system or situation without the danger or cost involved with real-world testing.

Q: What are some examples of simulations?
A: Flight simulators for pilots, medical simulators for healthcare professionals, corporate simulations for training and development, and military simulations for training and strategic planning are all examples of simulations.

Q: How do simulations work?
A: Simulations function by establishing a virtual environment or model that mimics the behaviour and responses of a real-world system, frequently using mathematical algorithms and user input to generate realistic results and scenarios.

Q: What are the benefits of simulations in learning and development?
A: Increased engagement and motivation, improved retention and transfer of learning, the capacity to practise and apply skills in a safe and controlled setting, and the option to explore and test numerous scenarios and outcomes are all advantages of simulations in learning and development.

Q: What are some considerations when using simulations in learning and development?
A: When employing simulations in learning and development, make sure the simulation is relevant and realistic to the learner’s job or context, provide appropriate guidance and assistance, and evaluate the simulation’s efficacy in attaining learning outcomes.

Q: What are some limitations of simulations?
A: Simulation limitations include the possibility for the simulation to be unduly simple or unrealistic, the necessity for high-quality and reliable input data, and the potential for learners to become overly reliant on the simulation and fail to transfer learning to real-life circumstances.

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